Kenyan vs Immigrants from Bangladesh Community Comparison
COMPARE
Kenyan
Immigrants from Bangladesh
Social Comparison
Social Comparison
Kenyans
Immigrants from Bangladesh
6,922
SOCIAL INDEX
66.7/ 100
SOCIAL RATING
135th/ 347
SOCIAL RANK
2,108
SOCIAL INDEX
18.6/ 100
SOCIAL RATING
269th/ 347
SOCIAL RANK
Immigrants from Bangladesh Integration in Kenyan Communities
The statistical analysis conducted on geographies consisting of 112,555,532 people shows a significant positive correlation between the proportion of Immigrants from Bangladesh within Kenyan communities in the United States with a correlation coefficient (R) of 0.695. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.619% in Immigrants from Bangladesh. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 618.5 Immigrants from Bangladesh.
Kenyan vs Immigrants from Bangladesh Income
When considering income, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in wage/income gap (24.5% compared to 20.9%, a difference of 16.8%), householder income over 65 years ($60,514 compared to $55,394, a difference of 9.2%), and householder income under 25 years ($50,815 compared to $54,714, a difference of 7.7%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $39,910, a difference of 0.12%), householder income ages 25 - 44 years ($91,684 compared to $90,448, a difference of 1.4%), and median earnings ($46,462 compared to $45,532, a difference of 2.0%).
Income Metric | Kenyan | Immigrants from Bangladesh |
Per Capita Income | Fair $42,808 | Poor $41,709 |
Median Family Income | Fair $101,417 | Tragic $94,665 |
Median Household Income | Fair $84,085 | Tragic $80,722 |
Median Earnings | Average $46,462 | Fair $45,532 |
Median Male Earnings | Fair $53,647 | Tragic $51,642 |
Median Female Earnings | Average $39,860 | Good $39,910 |
Householder Age | Under 25 years | Tragic $50,815 | Exceptional $54,714 |
Householder Age | 25 - 44 years | Poor $91,684 | Tragic $90,448 |
Householder Age | 45 - 64 years | Fair $98,970 | Tragic $92,208 |
Householder Age | Over 65 years | Fair $60,514 | Tragic $55,394 |
Wage/Income Gap | Exceptional 24.5% | Exceptional 20.9% |
Kenyan vs Immigrants from Bangladesh Poverty
When considering poverty, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in married-couple family poverty (4.8% compared to 7.5%, a difference of 56.5%), receiving food stamps (11.6% compared to 15.9%, a difference of 37.5%), and seniors poverty over the age of 75 (11.5% compared to 15.8%, a difference of 37.2%). Conversely, both communities are more comparable in terms of single male poverty (12.4% compared to 13.0%, a difference of 5.4%), single father poverty (15.3% compared to 16.3%, a difference of 6.1%), and single female poverty (20.8% compared to 22.3%, a difference of 7.5%).
Poverty Metric | Kenyan | Immigrants from Bangladesh |
Poverty | Fair 12.5% | Tragic 15.3% |
Families | Average 8.9% | Tragic 11.7% |
Males | Fair 11.3% | Tragic 14.1% |
Females | Average 13.5% | Tragic 16.4% |
Females 18 to 24 years | Average 20.2% | Tragic 21.8% |
Females 25 to 34 years | Average 13.5% | Tragic 14.8% |
Children Under 5 years | Fair 17.5% | Tragic 20.1% |
Children Under 16 years | Fair 16.5% | Tragic 19.8% |
Boys Under 16 years | Average 16.6% | Tragic 19.9% |
Girls Under 16 years | Fair 16.8% | Tragic 19.9% |
Single Males | Exceptional 12.4% | Fair 13.0% |
Single Females | Good 20.8% | Tragic 22.3% |
Single Fathers | Exceptional 15.3% | Average 16.3% |
Single Mothers | Exceptional 28.4% | Tragic 31.1% |
Married Couples | Exceptional 4.8% | Tragic 7.5% |
Seniors Over 65 years | Exceptional 10.3% | Tragic 14.1% |
Seniors Over 75 years | Exceptional 11.5% | Tragic 15.8% |
Receiving Food Stamps | Good 11.6% | Tragic 15.9% |
Kenyan vs Immigrants from Bangladesh Unemployment
When considering unemployment, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in unemployment among ages 16 to 19 years (16.1% compared to 21.5%, a difference of 33.8%), unemployment among ages 55 to 59 years (4.4% compared to 5.9%, a difference of 32.6%), and unemployment among ages 60 to 64 years (4.6% compared to 6.0%, a difference of 30.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.1% compared to 9.1%, a difference of 0.11%), unemployment among women with children ages 6 to 17 years (8.8% compared to 8.8%, a difference of 0.49%), and unemployment among women with children under 6 years (7.6% compared to 8.8%, a difference of 16.5%).
Unemployment Metric | Kenyan | Immigrants from Bangladesh |
Unemployment | Excellent 5.1% | Tragic 6.5% |
Males | Good 5.2% | Tragic 6.6% |
Females | Exceptional 5.0% | Tragic 6.5% |
Youth < 25 | Exceptional 11.2% | Tragic 14.2% |
Age | 16 to 19 years | Exceptional 16.1% | Tragic 21.5% |
Age | 20 to 24 years | Exceptional 9.9% | Tragic 12.6% |
Age | 25 to 29 years | Exceptional 6.3% | Tragic 7.5% |
Age | 30 to 34 years | Exceptional 5.2% | Tragic 6.4% |
Age | 35 to 44 years | Exceptional 4.4% | Tragic 5.3% |
Age | 45 to 54 years | Exceptional 4.3% | Tragic 5.4% |
Age | 55 to 59 years | Exceptional 4.4% | Tragic 5.9% |
Age | 60 to 64 years | Exceptional 4.6% | Tragic 6.0% |
Age | 65 to 74 years | Exceptional 4.8% | Tragic 5.9% |
Seniors > 65 | Exceptional 4.7% | Tragic 5.7% |
Seniors > 75 | Tragic 9.1% | Tragic 9.1% |
Women w/ Children < 6 | Good 7.6% | Tragic 8.8% |
Women w/ Children 6 to 17 | Excellent 8.8% | Good 8.8% |
Women w/ Children < 18 | Excellent 5.3% | Tragic 6.4% |
Kenyan vs Immigrants from Bangladesh Labor Participation
When considering labor participation, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 30.0%, a difference of 33.6%), in labor force | age 20-24 (77.0% compared to 70.6%, a difference of 9.0%), and in labor force | age > 16 (67.6% compared to 64.5%, a difference of 4.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 83.6%, a difference of 2.2%), in labor force | age 35-44 (85.2% compared to 82.9%, a difference of 2.8%), and in labor force | age 25-29 (85.4% compared to 83.0%, a difference of 2.9%).
Labor Participation Metric | Kenyan | Immigrants from Bangladesh |
In Labor Force | Age > 16 | Exceptional 67.6% | Tragic 64.5% |
In Labor Force | Age 20-64 | Exceptional 80.8% | Tragic 77.9% |
In Labor Force | Age 16-19 | Exceptional 40.1% | Tragic 30.0% |
In Labor Force | Age 20-24 | Exceptional 77.0% | Tragic 70.6% |
In Labor Force | Age 25-29 | Exceptional 85.4% | Tragic 83.0% |
In Labor Force | Age 30-34 | Exceptional 85.4% | Tragic 83.6% |
In Labor Force | Age 35-44 | Exceptional 85.2% | Tragic 82.9% |
In Labor Force | Age 45-54 | Exceptional 83.7% | Tragic 80.7% |
Kenyan vs Immigrants from Bangladesh Family Structure
When considering family structure, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 14.9%), divorced or separated (12.2% compared to 11.0%, a difference of 11.2%), and average family size (3.21 compared to 3.36, a difference of 4.6%). Conversely, both communities are more comparable in terms of family households (63.2% compared to 63.9%, a difference of 1.1%), single mother households (7.0% compared to 6.9%, a difference of 1.3%), and family households with children (28.4% compared to 27.6%, a difference of 3.0%).
Family Structure Metric | Kenyan | Immigrants from Bangladesh |
Family Households | Tragic 63.2% | Poor 63.9% |
Family Households with Children | Exceptional 28.4% | Good 27.6% |
Married-couple Households | Tragic 44.7% | Tragic 43.1% |
Average Family Size | Fair 3.21 | Exceptional 3.36 |
Single Father Households | Fair 2.4% | Exceptional 2.1% |
Single Mother Households | Tragic 7.0% | Tragic 6.9% |
Currently Married | Tragic 45.2% | Tragic 43.6% |
Divorced or Separated | Fair 12.2% | Exceptional 11.0% |
Births to Unmarried Women | Average 31.9% | Good 30.9% |
Kenyan vs Immigrants from Bangladesh Vehicle Availability
When considering vehicle availability, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in no vehicles in household (9.7% compared to 25.8%, a difference of 165.4%), 4 or more vehicles in household (6.1% compared to 3.9%, a difference of 56.2%), and 3 or more vehicles in household (19.1% compared to 12.5%, a difference of 52.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 74.3%, a difference of 21.6%), 2 or more vehicles in household (55.5% compared to 38.8%, a difference of 43.2%), and 3 or more vehicles in household (19.1% compared to 12.5%, a difference of 52.5%).
Vehicle Availability Metric | Kenyan | Immigrants from Bangladesh |
No Vehicles Available | Excellent 9.7% | Tragic 25.8% |
1+ Vehicles Available | Excellent 90.4% | Tragic 74.3% |
2+ Vehicles Available | Average 55.5% | Tragic 38.8% |
3+ Vehicles Available | Fair 19.1% | Tragic 12.5% |
4+ Vehicles Available | Poor 6.1% | Tragic 3.9% |
Kenyan vs Immigrants from Bangladesh Education Level
When considering education level, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in no schooling completed (2.0% compared to 3.1%, a difference of 53.8%), college, under 1 year (66.5% compared to 61.3%, a difference of 8.5%), and college, 1 year or more (60.5% compared to 56.6%, a difference of 6.9%). Conversely, both communities are more comparable in terms of professional degree (4.4% compared to 4.4%, a difference of 0.87%), master's degree (15.3% compared to 15.5%, a difference of 0.92%), and nursery school (98.0% compared to 96.9%, a difference of 1.1%).
Education Level Metric | Kenyan | Immigrants from Bangladesh |
No Schooling Completed | Good 2.0% | Tragic 3.1% |
Nursery School | Average 98.0% | Tragic 96.9% |
Kindergarten | Average 98.0% | Tragic 96.8% |
1st Grade | Average 97.9% | Tragic 96.8% |
2nd Grade | Average 97.9% | Tragic 96.7% |
3rd Grade | Average 97.8% | Tragic 96.6% |
4th Grade | Average 97.5% | Tragic 96.2% |
5th Grade | Average 97.4% | Tragic 96.0% |
6th Grade | Good 97.1% | Tragic 95.4% |
7th Grade | Good 96.2% | Tragic 94.0% |
8th Grade | Good 95.9% | Tragic 93.6% |
9th Grade | Good 95.1% | Tragic 92.4% |
10th Grade | Good 94.0% | Tragic 91.0% |
11th Grade | Excellent 92.9% | Tragic 89.5% |
12th Grade, No Diploma | Good 91.5% | Tragic 88.0% |
High School Diploma | Excellent 89.6% | Tragic 85.5% |
GED/Equivalency | Good 86.3% | Tragic 81.9% |
College, Under 1 year | Excellent 66.5% | Tragic 61.3% |
College, 1 year or more | Good 60.5% | Tragic 56.6% |
Associate's Degree | Good 47.1% | Fair 45.2% |
Bachelor's Degree | Good 38.7% | Average 37.8% |
Master's Degree | Good 15.3% | Good 15.5% |
Professional Degree | Average 4.4% | Average 4.4% |
Doctorate Degree | Excellent 1.9% | Average 1.8% |
Kenyan vs Immigrants from Bangladesh Disability
When considering disability, the most significant differences between Kenyan and Immigrants from Bangladesh communities in the United States are seen in disability age under 5 (1.2% compared to 0.85%, a difference of 41.6%), disability age 18 to 34 (6.8% compared to 5.6%, a difference of 20.1%), and hearing disability (2.8% compared to 2.4%, a difference of 17.2%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (23.7% compared to 23.6%, a difference of 0.52%), female disability (11.9% compared to 11.8%, a difference of 0.93%), and cognitive disability (18.1% compared to 17.8%, a difference of 1.6%).
Disability Metric | Kenyan | Immigrants from Bangladesh |
Disability | Excellent 11.5% | Exceptional 11.0% |
Males | Good 11.0% | Exceptional 10.3% |
Females | Exceptional 11.9% | Exceptional 11.8% |
Age | Under 5 years | Good 1.2% | Exceptional 0.85% |
Age | 5 to 17 years | Poor 5.8% | Exceptional 5.2% |
Age | 18 to 34 years | Poor 6.8% | Exceptional 5.6% |
Age | 35 to 64 years | Fair 11.4% | Excellent 10.9% |
Age | 65 to 74 years | Fair 23.7% | Fair 23.6% |
Age | Over 75 years | Average 47.2% | Tragic 48.0% |
Vision | Exceptional 2.1% | Good 2.1% |
Hearing | Excellent 2.8% | Exceptional 2.4% |
Cognitive | Tragic 18.1% | Tragic 17.8% |
Ambulatory | Exceptional 5.8% | Fair 6.2% |
Self-Care | Exceptional 2.3% | Tragic 2.6% |